Architecture, Metrics and Performance - Technology Performance Pulse

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency

Efficiency Architecture Energy Monitoring

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later.

Metrics

Metrics Open Source Monitoring Infrastructure

Software Architecture Quality Attributes

DZone

JUNE 12, 2020

Quality attributes usually assessed and analyzed at the architecture level, not at the code level. However, some experts start talking about it, for example, I highly recommend you to attend Global Software Architecture Summit in Barcelona ( October, 1-2), where Alexander von Zitzewitz will talk about “Software Metrics for Architects”.

Software Architecture

Software Architecture Architecture Software Software

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

JANUARY 17, 2023

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics

Analytics Metrics Open Source Java

Weighing a microservices approach means covering all architecture bases

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. However, in some cases, an organization may be better suited to another architecture approach. What is the monolithic architecture approach?

Architecture

Architecture Serverless Azure Programming

Common Performance Management Mistakes

DZone

DECEMBER 28, 2021

How To Avoid Pain Points Introduced by Cloud-Based Architectures. Editor’s Note: The following is an article written for and published in DZone’s 2021 Application Performance Management Trend Report. Performance in any cloud-distributed application is key to a successful user experience.

Performance

Performance Cloud Architecture Metrics

What is cloud-native architecture? Set yourself up for cloud success

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud

Cloud Architecture Serverless Infrastructure

What are microservices? An agile architecture for software development

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture

Architecture Software Software Development

What are microservices? An agile architecture for software development

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture

Architecture Software Software Development

Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture

Architecture Availability Infrastructure Monitoring

Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

JANUARY 23, 2024

With our annual user conference, Dynatrace Perform 2024 rapidly approaching on January 29 through February 1, 2024, our teams, partners, and customers are buzzing with excitement and anticipation. Read on to learn what you can look forward to hearing about from each of our cloud partners at Perform. What will the new architecture be?

Cloud

Cloud Artificial Intelligence Performance AWS

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. OpenTelemetry reference architecture.

Open Source

Open Source Metrics Cloud Transportation

Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

FEBRUARY 10, 2023

These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. What’s more, organizations are no longer concerned only about application performance and sales numbers. We’ll post news here as it happens!

Efficiency

Efficiency Performance Analytics DevOps

How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud

Cloud Ecommerce Performance Retail

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

APRIL 8, 2022

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Detailed performance analysis for better software architecture and resource allocation. Transaction breakdowns.

Metrics

Metrics Analytics Software Architecture Open Source

Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. All your JMeter results in Dynatrace for better performance engineering. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ??

Innovation

Innovation Metrics Hardware Games

Common Performance Management Mistakes

DZone

JANUARY 29, 2022

This is an article from DZone's 2021 Application Performance Management Trend Report. Performance in any cloud-distributed application is key to successful user experience. Thus, having a deep understanding of how to measure performance and what metric IO pattern to use is quite important. For more: Read the Report.

Performance

Performance Cloud Metrics Open Source

Enable full observability for Linux on IBM Z mainframe now with logs

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.

Operating System

Operating System Energy Infrastructure Architecture

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

DECEMBER 18, 2020

Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. 2) we need to monitor both contexts as one app.

Analytics

Analytics Metrics IoT Monitoring

10 tips for migrating from monolith to microservices

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture

Architecture Artificial Intelligence Cloud Open Source

Prometheus AWS Exporter and Grafana

DZone

MAY 1, 2023

The main purpose of this article and use case is to scrape AWS CloudWatch metrics into the Prometheus time series and to visualize the metrics data in Grafana. These tools give greater visibility other than collecting the metrics also, where we can set up critical alerts, live views, and custom dashboards.

AWS

AWS Open Source Tuning Metrics

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

APRIL 8, 2022

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Detailed performance analysis for better software architecture and resource allocation. Transaction breakdowns.

Metrics

Metrics Analytics Software Architecture Open Source

11 Observability Tools You Should Know

DZone

MARCH 7, 2023

When organizations move toward the cloud, their systems also lean toward distributed architectures. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. One of the most common examples is the adoption of microservices.

Architecture

Architecture Metrics Cloud Monitoring

Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Dynatrace

DECEMBER 13, 2023

However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage.

Google

Google Cloud Infrastructure Metrics

Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. The following shows how to evaluate a deployment score based on metrics from Prometheus and Dynatrace. Pitometer is a Node.js

Architecture

Architecture Open Source Azure Metrics

Versatile observability for relational databases

Dynatrace

SEPTEMBER 5, 2023

Additionally, monitoring allows for proactive maintenance and optimization, leading to improved system performance and user experience. Database monitoring with topology context With Dynatrace, you can easily monitor the performance of your database layer, even in complex environments. What’s next?

Database

Database Metrics Monitoring Servers

The history of Grail: Why you need a data lakehouse

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence

Artificial Intelligence Analytics Storage Architecture

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. And without the encumbrances of traditional databases, Grail performs fast. “In Simply put, metrics are the counts and measures that are often calculated or aggregated over time.

Analytics

Analytics Innovation Metrics Database

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Traffic

Traffic Latency Tuning Systems

Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

MARCH 29, 2024

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. Consider a sudden drop in performance. “Additionally, we are full-stack and goal-oriented.

Engineering

Engineering DevOps Operating System Open Source

Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

FEBRUARY 10, 2022

Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas. Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Dynatrace news. Learn more!

Artificial Intelligence

Artificial Intelligence Performance Innovation Speed

A guide to ASP.NET web service observability, diagnostics and performance optimization with Dynatrace

Dynatrace

OCTOBER 5, 2020

The challenge with ASP.NET Web Service Observability, Diagnostics and Performance Optimization is that most monitoring & diagnostic tools only provide global Service Level Indicators metrics (SLIs) such as response time, failure rate, and throughput, but not metrics for each individual service endpoint. Dynatrace news.

Performance

Performance Best Practices Architecture Monitoring

Driving your FinOps strategy with observability best practices

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Suboptimal architecture design.

Best Practices

Best Practices Strategy Cloud AWS

How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

MARCH 6, 2024

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). Dynatrace has made the reference IDP architecture available on GitHub for anyone to use.

Engineering

Engineering Development DevOps Infrastructure

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache

Cache Azure Infrastructure Monitoring

Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

Storage

Storage Cache Metrics Database

OpenTelemetry logs in Grail unlock full observability

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source

Open Source Analytics Metrics Cloud

Optimize your observability pipeline for AWS Lambda serverless functions

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry. How to get started.

Lambda

Lambda Serverless AWS Latency

Measuring the importance of data quality to causal AI success

Dynatrace

JANUARY 4, 2024

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality.

Government

Government Analytics Benchmarking Storage

Observability vs. monitoring: What’s the difference?

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news.

Monitoring

Monitoring Metrics DevOps Scalability

OpenTelemetry services analysis and endpoint detection made easier with Dynatrace unified services

Dynatrace

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics

Metrics Open Source Tuning Infrastructure

Panel Recap: How is your performance and reliability strategy aligned with your customer experience?

Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. What do you see as the biggest challenge for performance and reliability? Dynatrace news.

Strategy

Strategy Performance Logistics Monitoring

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .

Performance

Performance Education Innovation Software Architecture

Why applying chaos engineering to data-intensive applications matters

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Flink is the best candidate when EOS guarantees are necessary.

Engineering

Engineering Tuning Latency Open Source

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

What is observability? Not just logs, metrics and traces

Trending Sources

Software Architecture Quality Attributes

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Weighing a microservices approach means covering all architecture bases

Common Performance Management Mistakes

What is cloud-native architecture? Set yourself up for cloud success

What are microservices? An agile architecture for software development

What are microservices? An agile architecture for software development

Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

How multicloud observability boosts cloud performance at Tractor Supply Co.

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Common Performance Management Mistakes

Enable full observability for Linux on IBM Z mainframe now with logs

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

10 tips for migrating from monolith to microservices

Prometheus AWS Exporter and Grafana

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

11 Observability Tools You Should Know

Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Automated Deployment and Architectural Validation with Pitometer and keptn!

Versatile observability for relational databases

The history of Grail: Why you need a data lakehouse

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Enhancing Kubernetes cluster management key to platform engineering success

Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

A guide to ASP.NET web service observability, diagnostics and performance optimization with Dynatrace

Driving your FinOps strategy with observability best practices

How platform engineering and IDP observability can accelerate developer velocity

Dynatrace accelerates business transformation with new AI observability solution

Improved Alerting with Atlas Streaming Eval

OpenTelemetry logs in Grail unlock full observability

Optimize your observability pipeline for AWS Lambda serverless functions

Measuring the importance of data quality to causal AI success

Observability vs. monitoring: What’s the difference?

OpenTelemetry services analysis and endpoint detection made easier with Dynatrace unified services

Panel Recap: How is your performance and reliability strategy aligned with your customer experience?

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Why applying chaos engineering to data-intensive applications matters

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